41 results about "Sample tracking" patented technology

The invention belongs to the technical field of data management, and discloses an inspection sample data tracking identification method and system based on the Internet of Things. The method comprises the following steps: a cloud data center constructs a sample tracking identification model and a sample data analysis model, and deploys a block chain network; the Internet of Things gateway is used for collecting real-time handover records and sending the real-time handover records to the cloud data center; the cloud data center performs tampering verification and generates real-time test sample data; the cloud data center is used for performing sample tracking and identification by using the sample tracking and identification model; the cloud data center is used for performing sample data analysis by using a sample data analysis model; and the cloud data center is used for storing the real-time test sample data, the real-time sample tracking identification result and the real-time sample data analysis result of the detection sample by using a block chain network. According to the invention, the problems of easy data tampering, difficult tracking, inaccurate analysis, low management efficiency and low storage reliability in the prior art are solved.

The invention relates to the technical field of experimental data monitoring, and discloses a laboratory data and index monitoring analysis method and a decision support management system, and the system comprises a sample tracking module, an index definition module, a data collection module, a data analysis module, a performance monitoring module, a data storage module, a trend analysis module, and a real-time early warning module. Wherein the data collection module is used for automatically collecting experimental data measured by an experimental instrument at regular time; and the data analysis module is used for carrying out visual analysis on the data collected each time, carrying out correlation analysis on the data collected each time and the data stored in the historical logs, and carrying out regression analysis on the data collected each time and the sample variables. According to the method, early warning is carried out in the synthesis process of the sample by comprehensively evaluating the measurement data of the experimental data, the actual data of the sample and the pre-estimated data of the system, so that the normal development of the sample data collected in real time is ensured, and the pollution of the experimental sample caused by untimely monitoring is avoided.

The invention provides a specimen tracking and checking system, which is suitable for at least one specimen container conveyed from a sending end to a checking end, and comprises a weight sensing module, an image acquisition module, an image recognition module, a control module and a network communication module which are arranged at the sending end and the checking end, the control module generates first specimen information and second specimen information at the sending end and the checking end respectively according to the weight of the specimen container and the identified target image, and the checking end is further provided with a comparison module for comparing whether the first specimen information is consistent with the second specimen information or not.

Scientific instrument support systems and related methods, computing devices, and computer readable media are disclosed herein. For example, in some embodiments, there is provided a method comprising: generating a sample identifier for a sample; receiving sample information of the sample; and generating a data structure ledger for the sample. The data structure ledger includes an initial ledger block having the sample identifier and the sample information. The method further includes receiving experimental data associated with the sample; experimental ledger blocks are generated in the data structure ledger. The method further includes receiving a request for a report corresponding to the sample; querying the data structure ledger to receive ledger data corresponding to the request; and generating the report based on the ledger data received in response to the query.

To provide a sample tracking card.SOLUTION: A sample tracking card for attachment to a container that contains a biological sample having been acquired for test is explained. The card includes an opening for receiving an edge of a sample collection container and a tab that engages with the other edge of the sample collection container and that is used for attaching the container to the card. The card enables a test result concerning the sample to be reliably matched to a subject without causing the identity of the subject to be exposed to the container. Also explained is a kit that comprises the card and the container.SELECTED DRAWING: Figure 3

The utility model relates to the technical field of medical apparatus and instruments, and discloses a multi-sample immunohistochemical detection plate, the multi-sample immunohistochemical detection plate comprises a shell, a bottom plate, a detection plate mechanism, a drainage channel, a water outlet hole and an anti-skid gasket, the detection plate mechanism accommodates and supports simultaneous detection of multiple samples, so that the treatment of a large number of samples becomes possible, and the detection efficiency is improved. The sealing edge provides additional protection around the sample groove, and sample overflow or cross contamination is prevented. According to the multi-sample immunohistochemical detection plate, the sample treatment efficiency is improved, as the multi-sample immunohistochemical detection plate can be used for simultaneously treating a plurality of samples, the time and the labor required for treating a single sample are reduced, the experimental process is accelerated, and the work of a laboratory is more efficient, the design is particularly important for a high-throughput laboratory, and the detection plate has a wide application prospect. Because they need to process a large number of samples to ensure rapid and accurate data output, in addition, the integrated scanning and recognition system reduces human errors and improves the accuracy of sample tracking and data management by automatically reading sample barcodes.

Systems and methods for tracking samples via sample tracking chains are presented. Sample tracking chains represent digital data structures instantiated according to intrinsic properties of a sample. Each link in the chain is a block of data representing an observed intrinsic state of the sample and is linked at least to a previous block representing a previous state. The sample tracking chain and blocks can be indexed for later retrieval by the intrinsic properties of the corresponding sample's state. The sample tracking chain can take the form of a blockchain possibly stored as part of a private or public distributed ledger. Disclosed sample tracking chains provide a full life cycle audit trail for sample processing.

The embodiments of the present invention relate to the field of computer technology, and disclose a method, apparatus, computing device, and storage medium for assessing the quality of software tracking points. The method comprises: obtaining first data, wherein the first data comprises operation events, operation event pass rates, tracking points, and tracking point pass rates; inputting the first data into a tracking point quality assessment model, wherein the tracking point quality assessment model is trained based on sample data, wherein the sample data comprises sample operation events, sample operation event pass rates, sample tracking points, sample tracking point pass rates, and sample event quality judgment results, wherein the sample event quality judgment results are used to indicate whether the software corresponding to the sample data meets the online standard; obtaining the event quality judgment results output by the tracking point quality assessment model, wherein the event quality judgment results are used to indicate whether the software to be tested corresponding to the first data meets the online standard. The embodiments of the present invention improve testing efficiency.

This application provides a method and system for batch progress monitoring of animal disease testing samples, belonging to the field of intelligent monitoring technology. The method includes: introducing an online mirroring system to receive testing tasks and perform lightweight simulations to determine the testing chain, based on the testing process cycle; verifying and correcting based on personnel and equipment status; receiving test samples and assigning batch radio frequency coding (RFID) identification; and implementing batch-driven testing management and data storage on the testing chain through collaborative RFID tracking and visual monitoring to determine the testing data chain and establish a knowledge graph of testing through batch mining. This application solves the technical problem in existing technologies where isolated information and discontinuous data at each stage of the testing process make it difficult to monitor and track sample batch progress in real time, thus affecting testing efficiency. By introducing an online mirroring system combined with RFID identification for full-process sample tracking, the efficiency of disease testing is improved.

The invention provides methods of sample identification using germline structural variants to assess sample contamination and sample swap.

The invention discloses a printing return form sample chasing color compensation calculation method, which successfully solves the problems of subjectivity and inaccuracy of experience conversion in traditional printing return form sample chasing by constructing an intelligent color compensation system based on a K-means clustering algorithm. Experimental data show that the algorithm can accurately quantify the difference of the color separation files, and optimized curve parameters are generated through nonlinear fitting, so that the color difference delta E2000 of the corrected printed sheet is stably controlled within 2.5. Especially for the significant difference between the Y channel (the average deviation is 2.14%) and the K channel (the average deviation is 3.48%), the system effectively corrects the defects that printed sheets are slightly blue and dark through a dynamic compensation mechanism, and synchronous optimization of four primary colors, secondary overprinted colors and three-color overprinted grey balance colors is achieved. Compared with a traditional manual adjustment method, the data-driven compensation method has the advantages that the efficiency is greatly improved, the data-driven compensation method has the completely replicable standardization characteristic, key technical support is provided for digital upgrading of printing production, and the printing industry can be further promoted to develop towards the intelligent and high-precision direction.

Disclosed herein are scientific instrument support systems, as well as related methods, computing devices, and computer-readable media. For example, in some embodiments, samples are tracked using unique identifiers. An autosampler may detect the samples using unique identifiers and provide alerts when the sample is placed in the wrong location or when an incorrect or incompatible workflow is selected for the sample.

Control system configured for sample tracking in an electron microscope environment registers a movement associated with a region of interest located within an active area of a sample under observation with an electron microscope. The registered movement includes at least one directional constituent. The region of interest is positioned within a field of view of the electron microscope. The control system directs an adjustment of the electron microscope control component to one or more of dynamically center and dynamically focus the view through the electron microscope of the region of interest. The adjustment comprises one or more of a magnitude element and a direction element.

A system for collection and tracking of a sample for testing is provided, which includes a kit having a housing configured for storing a sample therein and a label for adhering to the housing upon contact. The label further includes images orientated both horizontally and vertically, each displaying the same readable context able to be scanned. The images are positioned such that the position of the label on the housing and the orientation of the reader scanning the images minimally affects the ability to read the images.

Disclosed herein are scientific instrument support systems, as well as related methods, computing devices, and computer-readable media. For example, in some embodiments, samples are tracked using unique identifiers. An autosampler may detect the samples using unique identifiers and provide alerts when the sample is placed in the wrong location or when an incorrect or incompatible workflow is selected for the sample.

The invention relates to the technical field of the Internet of Things, in particular to a laboratory equipment reservation and sample tracking system based on the Internet of Things, which comprises a user identity authentication module, an equipment reservation scheduling module, a sample identifier generation module, a sample dynamic tracking module, a use state verification module and an abnormity early warning module. According to the system, firstly, the legality of a user is ensured through multi-factor identity authentication, then equipment reservation is carried out based on an authentication user identifier, corresponding sample unique identifier information is generated, and the whole-process position and time of the sample are collected through an Internet of Things tracking device and tracking data are formed; and the verification module compares the consistency of the reserved path and the actual path, and identifies the potential use deviation. And when an abnormal condition exists, the early warning module instantly triggers a prompt and feeds back and adjusts a reservation strategy to form a closed-loop management mechanism. According to the invention, intelligent scheduling of laboratory equipment resources and visual management and control of sample use behaviors are realized, and the standardization of a scientific research process is improved.

The invention discloses a composite RFID verification system and method for sample tracking, relates to the technical field of RFID identification, and can solve the technical problems that an ultrahigh frequency RFID tag is limited in identification performance in complex scenes such as a biological sample and a liquid environment, and a low frequency RFID tag is short in identification distance and difficult to independently position. The system comprises a low-frequency RFID tag configured on a sample, an ultrahigh-frequency RFID tag configured on a container, a low-frequency RFID reader-writer, an ultrahigh-frequency RFID reader-writer, a container positioning and tracking module and a sample verification module. According to the invention, 'container-sample 'dual identification and verification can be realized.

There is disclosed a system for scanning data from items, wherein each item is provided both with a radio frequency identification, RFID, tag and with an optically-readable identifier. The system comprises a scanner configured to read first data from the RFID tag by way of an RFID reader and to read second data from the optically-readable identifier by way of an optical reader. The second data comprises data having a data format selected from a group of different predetermined data formats. The scanner is configured to communicate at least the first data and the second data to a signal splitter. The signal splitter is configured to inspect the second data so as to determine whether or not the data format of the second data matches a given one of the predetermined data formats. The signal splitter is configured to direct the first data and the second data in the given one of the predetermined data formats to a first computer database in the event that the data format of the second data matches the data format of the given one of the predetermined data formats. The signal splitter is configured to direct the second data but not the first data to a second computer database in the event that the data format of the second data matches any one of the predetermined data formats.

The utility model relates to the technical field of nucleic acid extraction, and discloses a nucleic acid extraction tube which comprises a tube body, a first sealing ring enhances the sealing performance between a sealing cover and the tube body and effectively prevents liquid leakage and external pollution, and a label provides an identification area of sample information. And sample tracking and management in the experiment process are facilitated. According to the nucleic acid extraction tube, the tube body provides a stable storage and operation space, the gradually-reduced structure of the tail tube enables liquid to smoothly flow to an elution tank, the silica gel membrane provides efficient nucleic acid adsorption performance, the filter membrane effectively blocks impurity particles, and the supporting net provides stable support for the silica gel membrane and the filter membrane, so that deformation or damage in the operation process is prevented; the elution tank serves as a final nucleic acid sample collection area, concentrated storage and efficient recovery of nucleic acid samples are guaranteed, the parts are matched with one another to form an efficient nucleic acid extraction structure, the purity and the recovery rate of nucleic acid extraction are improved, and sample loss is reduced.

The invention provides a micro-nano processing sample tracking method and a micro-nano processing equipment unlocking method, and the method comprises the steps: giving a sample ID to a to-be-processed sample when the to-be-processed sample enters a micro-nano processing platform, adding at least two sample codes on the surface of the to-be-processed sample according to the sample ID, the sample codes added on the surface of the to-be-processed sample are represented as the same sample ID; acquiring user identity information corresponding to the to-be-processed sample and equipment reservation information corresponding to the user identity information; constructing a mapping relationship among the sample ID, the user identity information and the equipment reservation information; before the to-be-processed sample enters any processing equipment for micro-nano processing, identifying a sample code on the surface of the to-be-processed sample; and calling corresponding equipment reservation information according to the sample ID corresponding to the sample code.

The invention relates to a tissue chip manufacturing process informatization management method, and belongs to the technical field of biological medicine. The invention provides an informatization management system for an organization chip manufacturing process. The informatization management system comprises a central processing unit, a sampling workstation, an aggregation workstation, a slicing workstation and an HE dyeing workstation, the central processing unit is respectively connected with the sampling workstation, the aggregation workstation, the slicing workstation or the HE dyeing workstation; and the section workstation is provided with an interface connected with a slide / label printer. According to the invention, the whole-course digital management of the sample information in the tissue chip manufacturing process is realized, manual operation errors are avoided, the chip preparation efficiency and the sample tracking accuracy are improved, and the reliability of scientific research data and the high efficiency of clinical application are ensured.

The application discloses a quality control and sample tracking management method for a whole process of gene detection, and relates to the field of sample tracking management. First, the reagent flow parameter is converted into a digital activity vector by using the attenuation integral technology. Then, a collaborative feature matrix coupled across dimensions is constructed by fusing the features of the activity vector and the library quality control data. On this basis, the calibration instruction set executable by the device is reversely solved based on the precision loss gradient and combined with the hardware parameter mapping table, so that the sequencer can automatically adjust the underlying operation parameters according to the real-time performance of the reagent. Finally, the quality control tracking report is generated through the whole-link correlation audit, the whole-process transparency control from the underlying biochemical fluctuation to the macro quality state is realized, and the sequencing deviation caused by the dynamic biochemical attenuation is fundamentally eliminated.

The invention discloses a low-frequency RFID sample object identification system and method based on a relay coil, relates to the technical field of RFID identification, and can solve the technical problem of identification blind areas caused by limited magnetic field propagation range in the prior art. The system comprises a low-frequency RFID tag configured on a sample object to record unique identity information of the sample object; the repeating coil module is used for enhancing an alternating magnetic field in a recognition area, and the recognition area is used for storing a sample object; and the low-frequency RFID reader-writer module is used for transmitting a low-frequency alternating magnetic field to the identification area and receiving a signal returned by the low-frequency RFID tag so as to analyze the unique identity information of the sample object from the signal. According to the invention, the action range of the low-frequency magnetic field can be effectively enlarged, the identification capability of the reader-writer on the low-frequency tag in a relatively far area is improved, and the low-cost sample tracking requirements in complex environments such as high-density grids, multi-layer goods shelves and metal shielding are met.

A system and method for scanning data from items such as histopathology cassettes 1 or histopathology slides 4. Each item is provided with both a radio frequency identification (RFID) tag and with an

Disclosed herein are scientific instrument support systems, as well as related methods, computing devices, and computer-readable media. For example, in some embodiments, samples are tracked using unique identifiers. An autosampler may detect the samples using unique identifiers and provide alerts when the sample is placed in the wrong location or when an incorrect or incompatible workflow is selected for the sample.

The invention provides an image tracking model training and image tracking method and device. The method comprises the following steps: acquiring a training sample set and an initial image tracking model; performing down-sampling on the target image sample and the search image sample of the training sample to generate at least one sub-target image sample and a plurality of sub-search image samples; inputting the sub-target image samples into the initial template feature image model to generate template image features, and inputting the sub-search image samples into the initial search model to generate search image sample features; and generating a prediction result based on the template image features and the search image sample features, and training the initial image tracking model based on the prediction result to generate a target image sample tracking model. By down-sampling the target image sample and the search image sample, the effect of subsequent model training is improved, the adaptability of the model to the targets with different scales is improved, and the model is more stable when processing the targets with different sizes.

1. Name of the Design Product: Bacterial Sampling Workstation. 2. Use of the Design Product: The product using this design is an intelligent bacterial sampling workstation integrating software and hardware. It realizes high-precision, high-speed and fully automatic sampling assisted by artificial intelligence, and solves the problems of large-scale bacterial culture and sampling. It adopts artificial intelligence image recognition technology to automatically identify target colonies and achieve unattended full-automatic sampling; through a self-developed high-precision robot, it grabs the sampling ball to accurately collect the target colonies; through real-time high-resolution image acquisition and storage, it digitally records the sampling process, which helps subsequent data analysis and sample tracking, and improves the reliability and traceability of data. Using the product of this design can scale, industrialize, digitalize and intelligentize the bacterial sampling process, and can exponentially accelerate the R & D and production efficiency. 3. Design Key Points of the Design Product: The combination of shape, pattern and color. 4. Picture or Photo that Best Indicates the Design Key Points: Perspective View. 5. The claimed design includes color.

Disclosed herein are scientific instrument support systems, as well as related methods, computing devices, and computer-readable media. For example, in some embodiments, samples are tracked using unique identifiers. An autosampler may detect the samples using unique identifiers and provide alerts when the sample is placed in the wrong location or when an incorrect or incompatible workflow is selected for the sample.

Control system configured for sample tracking in an electron microscope environment registers a movement associated with a region of interest located within an active area of a sample under observation with an electron microscope. The registered movement includes at least one directional constituent. The region of interest is positioned within a field of view of the electron microscope. The control system directs an adjustment of the electron microscope control component to one or more of dynamically center and dynamically focus the view through the electron microscope of the region of interest. The adjustment comprises one or more of a magnitude element and a direction element.

The present application provides a micro-nano processing sample tracking method and a micro-nano processing equipment unlocking method, which comprises: when a sample to be processed enters a micro-nano processing platform, a sample ID is given to the sample to be processed; at least two sample codes are added to the surface of the sample to be processed according to the sample ID, and the sample codes added to the surface of the sample to be processed are all expressed as the same sample ID; user identity information corresponding to the sample to be processed and equipment reservation information corresponding to the user identity information are obtained; a mapping relationship is constructed by the sample ID, the user identity information and the equipment reservation information; before the sample to be processed enters any processing equipment for micro-nano processing, the sample codes on the surface of the sample to be processed are identified; and the corresponding equipment reservation information is retrieved according to the sample ID corresponding to the sample code.